Bayesian structural time series for biomedical sensor data: A flexible modeling framework for evaluating interventions.
Jason LiuDaniel J. SpakowiczGarrett I. AshRebecca HoydRohan AhluwaliaAndrew ZhangShaoke LouDonghoon LeeJing ZhangCarolyn PresleyAnn GreeneMatthew Stults-KolehmainenLaura M. NallyJulien S. BakerLisa M. FucitoStuart A. WeinzimerAndrew V. PapachristosMark GersteinPublished in: PLoS Comput. Biol. (2021)
Keyphrases
- sensor data
- modeling framework
- sensor networks
- sensor measurements
- data streams
- sensor readings
- topic modeling
- human activities
- bayesian networks
- text mining
- multiple sensors
- sensor data streams
- educational technology
- maximum likelihood
- smart environments
- health monitoring
- machine learning
- named entities
- prior knowledge